The ISPRS benchmark on indoor modelling

K. Khoshelham, L. Díaz Vilariño, M. Peter, Z. Kang, D. Acharya

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    Abstract

    Automated generation of 3D indoor models from point cloud data has been a topic of intensive research in recent years. While results on various datasets have been reported in literature, a comparison of the performance of different methods has not been possible due to the lack of benchmark datasets and a common evaluation framework. The ISPRS benchmark on indoor modelling aims to address this issue by providing a public benchmark dataset and an evaluation framework for performance comparison of indoor modelling methods. In this paper, we present the benchmark dataset comprising several point clouds of indoor environments captured by different sensors. We also discuss the evaluation and comparison of indoor modelling methods based on manually created reference models and appropriate quality evaluation criteria. The benchmark dataset is available for download at: http://www2.isprs.org/commissions/comm4/wg5/benchmark-on-indoor-modelling.HTML.

    Original languageEnglish
    Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    PublisherISPRS
    Pages367-372
    VolumeXLII-2/W7
    DOIs
    Publication statusPublished - 2017
    EventISPRS Geospatial Week 2017 - Wuhan, China
    Duration: 18 Sep 201722 Sep 2017
    http://www.isprs.org/documents/geoweek.aspx

    Conference

    ConferenceISPRS Geospatial Week 2017
    CountryChina
    CityWuhan
    Period18/09/1722/09/17
    Internet address

    Keywords

    • 3D modelling
    • Accuracy
    • Automation
    • BIM
    • Evaluation
    • Geometric reconstruction
    • Indoor navigation
    • Performance
    • Point cloud
    • Quality
    • Semantics

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